Fundraising for social change / / Kim Klein

• Record Nr.: UNINA9910808370303321
• Autore: Klein Kim
• Pubbl/distr/stampa: Hoboken, New Jersey : , : Wiley, , 2016; ©2016
• ISBN: 1-119-20979-X; 1-119-20978-1
• Edizione: [Seventh edition.]
• Descrizione fisica: 1 online resource (451 p.)
• Collana: THEi Wiley ebooks
• Disciplina: 361.7068/1
• Soggetti: Fund raising - United States; Nonprofit organizations - United States - Finance
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Fundraising for Social Change ; Additional Titles from Kim Klein's Fundraising Series; Contents; Online Content; Acknowledgments; Introduction to the 7th Edition; About The Author; Part One What's New, What's Hot, What's Over, What's Not; 1 Nonprofits and the Money They Raise; The Size and Scope of the Sector; Where Money for Nonprofits Comes From; What Research Tells Us About the Nonprofit Sector; Who Gives Away Money; Givers Give; Who Receives Charitable Giving; Giving to Religion; 2 Creating a Fundraising Philosophy; 3 Be Clear About What the Money Will Do; What Is in the Case Statement?; Why Does Your Organization Exist? What Do You Most Believe?What Are Your Goals and Objectives? What Do You Do?; Objectives; What Have You Accomplished?; Who Is Involved in This Organization and How Does It Run?; How Much Does It Cost for Your Organization to Function, and Where Do You Get Your Money?; Creating a Strategic Plan; Developing the Case Statement; 4 What You Have to Understand to Begin Fundraising; Focus on Diversifying Donors; Appeal to People Who Give; Why People Give; Asking People to Give Is Easy to Learn; 5 The Importance of a Good Board of Directors; The Board and Fundraising; Time and MoneyThe Role of Paid Staff; Our Board Members Don't Have Any Money; Common Board Problems and Suggested Solutions; Too Much Is Expected of Board Members; Individual Board Members Feel ; Overworked; The Board Avoids Making Decisions; Decisions Are Made, Then Forgotten; There Is No Accountability; Moving Past Board Problems; Recruiting Board Members Willing to Help with Fundraising; The Orientation; Advisory Boards; When to Form an Advisory Board; Forming the Advisory Board; Using Other Volunteers for Fundraising; Part Two Ask Them, Thank Them, Ask Them Again; 6 Financial Needs and Fundraising StrategiesAnnual Needs; Asking Several Times a Year; Attracting New Donors; Capital Needs; Endowment and Reserve Funds; Three Goals for Every Donor; Three Types of Strategies; Acquisition Strategies; Retention Strategies; Upgrading Strategies; You Can't Save Time; 7 Thank Before You Bank; People Need to Be Appreciated; Don't Do As I Say; Do It Now; Logistics and Content; Sample Computer-Generated Thank-You Notes; Dear Freda,; Dear Annie Mae,; Handwritten Thank-You Notes; The Friendly Form Letter; Thank-You Calls; Common Questions; 8 Getting Comfortable with AskingWhy We're Afraid to Ask for Money; Specific Fears; "The Person Will Say No"; "Asking a Friend for Money Will Have a Negative Effect on Our Friendship" ; "If the Person Says Yes to My Request, I Will Be Obligated to Give to His or Her Cause Whether I Want to or Not" ; 9 Ask a Real Prospect; Ask a Prospect; Contact; Belief; Ability; Steps in Creating a Prospect List; 10 How to Ask; The Most Formal Approach; Sometimes You Only Need Step 1 or Step 2; The E-Mail or Letter; The Phone Call; You Don't Reach the Prospect; You Do Reach the Prospect; The Meeting; Meeting Etiquette

Coherence : In Signal Processing and Machine Learning / / by David Ramírez, Ignacio Santamaría, Louis Scharf

• Record Nr.: UNINA9910637713703321
• Autore: Ramirez David
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
• ISBN: 3-031-13331-5
• Edizione: [1st ed. 2022.]
• Descrizione fisica: 1 online resource (495 pages)
• Disciplina: 006.31; 621.3822
• Soggetti: Signal processing; Computer science - Mathematics; Mathematical statistics; Machine learning; Signal, Speech and Image Processing; Probability and Statistics in Computer Science; Machine Learning; Processament de senyals; Aprenentatge automàtic; Llibres electrònics
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references (pages 467-482) and index.
• Nota di contenuto: Introduction -- Historical perspective, motivating problems, and preview of what is to come -- Least Squares and related -- Classical correlations and coherence -- Coherence in the multivariate normal (MVN) model -- Classical tests for correlation -- One-channel matched subspace detectors -- Adaptive subspace detectors -- Two channel matched subspace detectors -- Detection of spatially-correlated time series -- Coherence and the detection of cyclostationarity -- Partial coherence for testing causality -- Subspace averaging -- Coherence and performance bounds -- Variations on coherence -- Conclusion.
• Sommario/riassunto: This book organizes principles and methods of signal processing and machine learning into the framework of coherence. The book contains ; a wealth of classical and modern methods of inference, some reported here for the first time. General results are applied to problems in communications, cognitive radio, passive and active radar and sonar, multi-sensor array processing, spectrum analysis, hyperspectral imaging, subspace clustering, and related. The reader will find new results for model fitting; for dimension reduction in models and ambient spaces; for detection, estimation, and space-time series analysis; for subspace averaging; and for uncertainty quantification. Throughout, the transformation invariances of statistics are clarified, geometries are illuminated, and null distributions are given where tractable. Stochastic representations are emphasized, as these are central to Monte Carlo simulations. The appendices contain a comprehensive account of matrix theory, the SVD, the multivariate normal distribution, and many of the important distributions for coherence statistics. The book begins with a review of classical results in the physical and engineering sciences where coherence plays a fundamental role. Then least squares theory and the theory of minimum mean-squared error estimation are developed, with special attention paid to statistics that may be interpreted as coherence statistics. A chapter on classical hypothesis tests for covariance structure introduces the next three chapters on matched and adaptive subspace detectors. These detectors are derived from likelihood reasoning, but it is their geometries and invariances that qualify them as coherence statistics. A chapter on independence testing in space-time data sets leads to a definition of broadband coherence, and contains novel applications to cognitive radio and the analysis of cyclostationarity. The chapter on subspace averaging reviews basic results and derives an order-fitting rule for determining the dimension of an average subspace. These results are used to enumerate sources of acoustic and electromagnetic radiation and to cluster subspaces into similarity classes. The chapter on performance bounds and uncertainty quantification emphasizes the geometry of the Cramèr-Rao bound and its related information geometry.